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Data Management & Biometrics (DMB)
UT
Faculteiten
EEMCS
Disciplines & departementen
DMB
Assignments
Open Assignments
Open Master Assignments
Data Management & Biometrics (DMB)
UT
Faculteiten
EEMCS
Disciplines & departementen
DMB
Assignments
Open Assignments
Open Master Assignments
Open Master Assignments
D = Data engineering, M = Machine learning, B = Biometrics & computer vision
[MB] Will it fail? Generating videos of actions fails
[M] Virtual symphony: matching off-tempo audio from different instruments
[M] Uni-modal to multi-modal model merging
[MB] Deriving text descriptions from visual model's predictions
[B] Heritage Biometrics – Possibilities with AI in Furniture & Wood Conservation
[B] Heritage Biometrics: does every painter paint himself?
[B] Heritage biometrics – 3D acquisition design for fingerprints, scratches and toolmarks on works of art
[B] Heritage biometrics – artist profiling from 3D fingerprints
[B] Heritage Biometrics at the Rijksmuseum: dating and tracing the origin of silver objects
[M] BBI Process Mining: Predict the remaining processing time of a pallet for an automated refrigerated warehouse
[M] Machine learning to quantify e3value business models
[D] Analysing coaching and therapy reports with Natural Language Processing/LLMs (Dutch, CS&BIT)
[M] Research into the AI-Revolution in Camera Technology at LOOGISCH
[M] Process Mining Pancreascarcinoom
[M] Event-streaming Algorithm for Self-adaptive Distributed Vehicle Route Guidance in Urban Networks
[M] Comparing attack graphs with business process models for modeling attacker strategies
[M] Optimisation of Complication Registration with Text Mining and Machine Learning
[M] LegalTech: AI and Legal processes
[M] Advancing Healthcare Process Simulation: Automating Discrete Event Models from Process Data
[M] Algorithm Development for Analysis of Heart Tissue
[B] Temporal Surgical Video Segmentation for Medical Dataset Curation
[B] Surgical Phase Pattern Recognition from Video Data
[B] Driver Behavior Understanding for Monitoring Fatigue and Anomalous Behavior in Autonomous Driving
[M] Fitness prediction for hip surgery for elderly patients
[D] Text mining to retrieve suspected cause of acute kidney injury from medical files
[M] Probability prediction for acute kidney injury
[M] (Multimodal) Admission prediction for patients in the cardiac emergency department
[M] Fast-track outcome prediction
[M] Real-time medication monitoring for patients with chronic pulmonary conditions
[D] Lesion detection model to monitor MS progression in brain MRI scans
[M] Quality Control on radiology MR reports
[M] NLP model to predict diabetes type and year of diagnosis from medical texts
[B] Discovery of missing objects in predefined scene images
[B] Pose Estimation in Handball Videos for Personalized Training
[B] Egocentric vision for human behaviour understanding
[B] Understanding the Effect of Image Quality and Resolution on Skin Lesion Recognition
[B] Recognition of Crops Relevant for Food Security from Images – Dataset Compilation and Classification Framework Design
[M] Artificial Intelligence against Cancer
[M] AERIAL IMAGE SEGMENTATION WITH DATA-EFFICIENT ADAPTATION OF FOUNDATION MODELS
[B] Benchmarking Medical Class-OOD (aka Open Set Recognition) Detection
[B] OOD detection on MediCLIP
[B] Can Normalizing Disentangled Flows Detect OOD data?
[B] Medical OOD detection with an Exponentially Tilted Gaussian Prior for beta-Variational Autoencoders
[B] Can you find the Gorilla in the CT scan? (2 topics: Sample and Object level)
[B] Why can’t Vision-Language Models like CLIP find OOD data in medical images? Or can they? How?
[B] Can Normalizing Disentangled Flows Detect OOD data?
[B] Disentangled Flows for Face editing
[B] Disentangled Flows for Anomaly Detection
Lifestyle Data Futures
[B] Self-Supervised Out-of-Distribution Detection
[B] Unsupervised Anomaly Detection Under Domain Shifts
[B] [M] AUTO: Auto encoders in face recognition
[M] Auto Data Evaluation using Machine Learning @ROSEN Enschede
[M] Object Detection for Water Pipeline Inspection @ROSEN Enschede
[M] Autoncoders and Recovering High Frequency Components
[D][M] BIO marker-based COVID Severity prediction and data quality exploration
[M] [B] Computer Vision & Machine Learning @ Lely
[M] Decoding EMG using A Riemannian Geometry approach
[M] Decoding EMG using Autoencoders
[B] [M] DIET: from obese data to sparse face models
[M] Explainable Machine Learning
[M] Explaining Estrus Classifications
[B] [M] FISWG AUTO: Automatic extraction and use of forensic facial features
[M] Large-scale data mining & NLP @ OCLC - Leiden, NL
[M] Machine Learning
[M] Machine Learning and Natural Language Processing Internship @Nedap
[B] Morphing robust face recognition
[B] Evaluation of AI-driven interpretation on microscopic images in oncology
[M] Deep learning in medical imaging project in Berlin using 3D-printed phantom
[M][B] Digital media - using neural networks for steganography
[M][B] Visual place recognition
[M][B] Fourier-basis noise image data augmentation for CNN robustness
[M][B] Deblurring and disentangled representations of cell images via deep learning
[M] Detect and correct wrong transliterations
[M][B] Deep learning techniques for deblurring cell images utilizing geometry
[M] How do different down-sampling methods affect neural networks’ reaction towards different frequencies?
[M] Motion magnification for engineered heart tissue microscopy videos
[M] Learning temporally-extended state and action representations in Deep Reinforcement Learning
[M] Automated Algorithm Configuration of Sparse Neural Networks
[M] Mortality prediction after hip fracture surgery. Could Machine Learning add value?
[D] Natural Language Processing for diagnosis of patients with unexplainable Left Ventricle Hypertrofia
[M] Point Cloud Classification using Context based Feature Engineering
[D] Process Mining Opportunities at Univé
[M] Project: E-Manager Chronic Diseases
[M] Semi-Supervised Deep Learning for Point Cloud Classification
[M] Serendipity at the MuseumFabriek
[B] TURBULENCE: 2D gen – 3D pose pipeline – atmospheric turbulence
[M] Using physiological signals to monitor mental state of Cybersecurity experts at Dutch Bank
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